{"id":"https://openalex.org/W2515917241","doi":"https://doi.org/10.1109/jbhi.2016.2602823","title":"Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier","display_name":"Histopathological Image Classification With Color Pattern Random Binary Hashing-Based PCANet and Matrix-Form Classifier","publication_year":2016,"publication_date":"2016-08-25","ids":{"openalex":"https://openalex.org/W2515917241","doi":"https://doi.org/10.1109/jbhi.2016.2602823","mag":"2515917241","pmid":"https://pubmed.ncbi.nlm.nih.gov/27576270"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2016.2602823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2602823","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032832318","display_name":"Jun Shi","orcid":"https://orcid.org/0000-0002-3226-3978"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Shi","raw_affiliation_strings":["Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104440819","display_name":"Jinjie Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjie Wu","raw_affiliation_strings":["Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100755327","display_name":"Yan Li","orcid":"https://orcid.org/0009-0007-6160-9759"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["Shenzhen City Key Laboratory of Embedded System Design, Shenzhen Laboratory of IC Design for Internet of Things, College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen City Key Laboratory of Embedded System Design, Shenzhen Laboratory of IC Design for Internet of Things, College of Computer Science and Software Engineering, Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348829","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0001-7041-643X"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063863772","display_name":"Shihui Ying","orcid":"https://orcid.org/0000-0001-9423-0146"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihui Ying","raw_affiliation_strings":["Department of Mathematics, School of Science, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, School of Science, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032832318"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":15.425,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.98969399,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"21","issue":"5","first_page":"1327","last_page":"1337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7868502140045166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7640409469604492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6168131828308105},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5715003609657288},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5391955375671387},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4532334804534912},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.447567343711853},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.418770968914032},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.33954206109046936},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13189169764518738}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7868502140045166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7640409469604492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6168131828308105},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5715003609657288},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5391955375671387},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4532334804534912},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.447567343711853},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.418770968914032},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.33954206109046936},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13189169764518738},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006651","descriptor_name":"Histocytochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007674","descriptor_name":"Kidney Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007674","descriptor_name":"Kidney Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D007674","descriptor_name":"Kidney Diseases","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2016.2602823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2016.2602823","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:27576270","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27576270","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1538542405","display_name":null,"funder_award_id":"61471245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G237963763","display_name":null,"funder_award_id":"11471208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2860646983","display_name":null,"funder_award_id":"61401267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3653525014","display_name":null,"funder_award_id":"U1201256","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5884383700","display_name":null,"funder_award_id":"61471231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W6585196","https://openalex.org/W22040386","https://openalex.org/W158199325","https://openalex.org/W657467088","https://openalex.org/W1086688568","https://openalex.org/W1487528910","https://openalex.org/W1616262590","https://openalex.org/W1932469787","https://openalex.org/W1946635378","https://openalex.org/W1965261730","https://openalex.org/W1965451568","https://openalex.org/W1982774018","https://openalex.org/W1998929974","https://openalex.org/W1999113165","https://openalex.org/W2001810343","https://openalex.org/W2018810807","https://openalex.org/W2020956195","https://openalex.org/W2036043678","https://openalex.org/W2036924016","https://openalex.org/W2037696125","https://openalex.org/W2039758605","https://openalex.org/W2051765910","https://openalex.org/W2069959554","https://openalex.org/W2097018403","https://openalex.org/W2102480024","https://openalex.org/W2103243046","https://openalex.org/W2110798204","https://openalex.org/W2115521901","https://openalex.org/W2123284096","https://openalex.org/W2132380474","https://openalex.org/W2136922672","https://openalex.org/W2143407407","https://openalex.org/W2151608510","https://openalex.org/W2162915993","https://openalex.org/W2163922914","https://openalex.org/W2202639555","https://openalex.org/W2248620004","https://openalex.org/W2398921440","https://openalex.org/W2399277531","https://openalex.org/W2919115771","https://openalex.org/W3102431071","https://openalex.org/W4232730838","https://openalex.org/W4254721730","https://openalex.org/W6621945360","https://openalex.org/W6628995693","https://openalex.org/W6674642818","https://openalex.org/W6676481782","https://openalex.org/W6679490728","https://openalex.org/W6687746116","https://openalex.org/W6712450407"],"related_works":["https://openalex.org/W2581696209","https://openalex.org/W2020430625","https://openalex.org/W2044065526","https://openalex.org/W2058306460","https://openalex.org/W2955952267","https://openalex.org/W2076436625","https://openalex.org/W2083564146","https://openalex.org/W4383117988","https://openalex.org/W2148428954","https://openalex.org/W2049095871"],"abstract_inverted_index":{"The":[0,55,80,146],"computer-aided":[1],"diagnosis":[2,141],"for":[3,21,117,140],"histopathological":[4,53,144,152],"images":[5,68,92,96],"has":[6],"attracted":[7],"considerable":[8],"attention.":[9],"Principal":[10],"component":[11,67],"analysis":[12],"network":[13,27],"(PCANet)":[14],"is":[15,43,84,138,161,178],"a":[16,34,115,128],"novel":[17],"deep":[18,171],"learning":[19,23,134,172,184],"algorithm":[20,42,160],"feature":[22,49,122,133,183],"with":[24],"the":[25,65,105,119,157,164,175,181],"simple":[26],"architecture":[28],"and":[29,59,72,93,123,130,135,167,185,191],"parameters.":[30],"In":[31],"this":[32],"study,":[33],"color":[35,52,56,74,89,143,151],"pattern":[36,58,61,91,95],"random":[37,81],"binary":[38,82,100],"hashing-based":[39],"PCANet":[40,166],"(C-RBH-PCANet)":[41],"proposed":[44,139,158,182],"to":[45,97,114,163],"learn":[46],"an":[47],"effective":[48],"representation":[50],"from":[51,64],"images.":[54,101,145],"norm":[57,90],"angular":[60,94],"are":[62],"extracted":[63],"principal":[66],"of":[69,121,142],"R,":[70],"G,":[71],"B":[73],"channels":[75],"after":[76],"cascaded":[77],"PCA":[78],"networks.":[79],"encoding":[83],"then":[85],"performed":[86],"on":[87,149],"both":[88],"generate":[98],"multiple":[99],"Moreover,":[102],"we":[103],"rearrange":[104],"pooled":[106],"local":[107],"histogram":[108],"features":[109],"by":[110,180],"spatial":[111,125],"pyramid":[112],"pooling":[113],"matrix-form":[116,131,192],"reducing":[118],"dimension":[120],"preserving":[124],"information.":[126],"Therefore,":[127],"C-RBH-PCANet":[129,159,190],"classifier-based":[132],"classification":[136,186],"framework":[137,187],"experimental":[147],"results":[148],"three":[150],"image":[153],"datasets":[154],"show":[155],"that":[156,188],"superior":[162],"original":[165],"other":[168],"conventional":[169],"unsupervised":[170],"algorithms,":[173],"while":[174],"best":[176],"performance":[177],"achieved":[179],"combines":[189],"classifier.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":18},{"year":2017,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}